The Credit Automated Trading team at Morgan Stanley is seeking a researcher to develop innovative automated trading solutions in algorithmic credit trading. The role involves collaborating with traders and technology partners to enhance trading performance through advanced models and AI-driven tools. Candidates will be responsible for managing risk, predicting liquidity, and trading at scale. Success in this position is defined by the delivery of effective models and improvements in trading outcomes.

• 2–5 years of experience in a quantitative role.
• Advanced degree (PhD, Master or equivalent) in quantitative fields such as math or statistics.
• Experience applying modern technologies, including AI, to solve quantitative and modelling problems.
• Solid understanding of probability, statistics, machine learning, and optimization.
• Proficiency in Python, with familiarity in Q/Kdb+, Scala or Java being beneficial.
• Basic understanding of financial markets, with knowledge of fixed income preferred.
• Ability to explain a model to a trader and discuss implementation details with technology.

• Use modern analytical tools and LLMs to improve models and speed up development.
• Develop and improve real-time pricing models for corporate and sovereign bonds.
• Identify patterns driving trading flow, liquidity, and market behavior to create actionable signals.
• Own initiatives across the full lifecycle of electronic trading from research to deployment.
• Partner closely with bookrunners, strats, and technology to deliver solutions.
• Enhance the back-testing and research framework to accelerate idea generation.

• Morgan Stanley offers extensive benefits that support employees’ careers, health, finances, and families, including top-tier medical coverage, mental health support, generous parental leave, fertility and family-building benefits, and robust retirement and stock purchase plans. Employees also gain access to continuous learning and networking opportunities, volunteer and giving programs aligned with the firm’s values, and hundreds of lifestyle perks like discounted products, cultural and entertainment tickets, and commuter savings.